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@@ -8,6 +8,8 @@ metrics:
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  model-index:
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  - name: vit-base-patch16-224-dmae-va-U5-42B
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  results: []
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # vit-base-patch16-224-dmae-va-U5-42B
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- This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.7215
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  - Accuracy: 0.85
@@ -97,4 +99,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.38.2
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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- - Tokenizers 0.15.2
 
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  model-index:
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  - name: vit-base-patch16-224-dmae-va-U5-42B
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  results: []
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+ datasets:
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+ - Augusto777/dmae-ve-U5
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # vit-base-patch16-224-dmae-va-U5-42B
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+ This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on Augusto777/dmae-ve-U5 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.7215
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  - Accuracy: 0.85
 
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  - Transformers 4.38.2
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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+ - Tokenizers 0.15.2